Adobe Journey Optimizer

Hi Team,I’m trying to retrieve the list of journeys using the Adobe Journey Optimizer API. I found a link in the documentation that provides a YAML file, which I imported into Postman. However, when I trigger the request, I’m not getting any response.Reference link: Journeys Retrieve APICould you please help me resolve this issue?  

Hi, The client is asking which Meta permissions are required by AJO to generate and use the access token for the WhatsApp channel integration.In a community thread, I saw that the following permissions were mentioned as required:whatsapp_business_manage_events whatsapp_business_management business_managementHowever, the client is requesting official clarification or documentation explaining why these high-level permissions are necessary.So my questions are:Are these the exact permissions AJO requires when integrating with the WhatsApp Cloud API? Is there any official documentation that explains why these specific permissions are needed?Thanks

I wanted to know that can we get the public URL of an asset using Asset Management in AJO and then use that URL in AJO email designer in HTML code view.I know that we can select the assets directly from assets menu but I am looking into an alternative using the public URL of assets.

Hi Team,Could you please help me.We have put condition activity after Read Audience. In Condition activity, we have to split EML population Vs not EML population.Here attribute exclusionType is String Array storing multiple values like EML, AMB, EFG etc and customerAttributes is Object.We need to split the audience based on exclusionType=EML and others.We tried with below condition but it seems like the profile whoever having first position(index) stating as EML is only fetching in condition. It means if any profile having exclusionType=EML on 2nd or 3rd or so forth position, is not at all coming.Advanced Expression using as:#{ExperiencePlatform.ProfileFieldGroup.profile._abc.customerAttributes.exclusionType} == ['EML']Please help here - we need to check EML value at any position in exclusionType attribute.

Hi all,We have a unitary event-based flow: streaming event → AEP → AJO journey → Custom Action (REST) → ACC delivery.We're currently using these methods for verification and debugging, and want to know if there's anything else we're missing:What we're using today:AEP Dataset Preview to spot-check ingested events AEP Identity Graph Viewer to verify identity stitching per profile AJO Test Mode to simulate the journey with test profiles before publishing AJO Journey Step Events dataset to see journey execution logs (entry, action calls, errors) AJO Live View / Journey Reports for monitoring journey activity ACC workflow logs and journal to trace incoming API calls through to deliveryOur questions:Are these the only native tools available for logging and debugging this type of flow, or are there others we're not aware of? Is there a way to see the exact payload and HTTP response of a Custom Action call beyond what the Step Events dataset provides? Has anyone implemented end-to-end traceabi

We are seeing a significant dropoff in open rates and we suspect there was a recent change to how AJO handles auto opens. AJO has always included auto opens, mostly from iOS mail protection, as part of the unique open metric. While this inflated open rates, it has been that way for quite some time.  Now, we are seeing a new Estimated Email Opens metric which seems to no longer include auto opens.  Can this be confirmed? This is a significant change to the optics of how open rates are reported. If this change was made, can we please understand how an open is classified as an auto open? Just because someone has mail protection enabled does not mean that every email they are opening is an auto open. We need to better understand the logic behind this change if it was made. 

Summary:I am using dataset lookup in AJO personalization, but it is returning empty values. My dataset has a primary identity and data is present. I have tried both approaches — with fields nested under the tenant namespace and also without nesting — but still getting empty results. Not sure what is causing the issue or how to fix it.AEP   configuration:schema : {tenant : {offerID (primary id),title ,description}}Dataset is enabled for lookup Identity is marked as primary Data exists in dataset (e.g., "IC121") Using hardcoded ID in lookupNote: Schema and Dataset is not profile enabledIn AJO (Campaign - CBE based), I am trying to access this data using personalization:Code:[ {{ datasetLookup datasetId="Dataset" id="ID121" result="offer"}} {“title” : “{{offer.tenant.title}}”,“description” : “offer.tenant.description”}] Issue:The response is:{title :””,description : “”} It seems like the lookup is not executing. Can anyone help me what i am missingThanks in advance

Hi community,I’m working on an AJO → ACC integration and running into a limitation with nested arrays in event payloads, such as cart items or receipt line items.From what I can tell, AJO Custom Action mapping handles flat fields well, but not nested collections cleanly.The options I’m aware of are:serialize the array upstream and parse it in ACC use middleware to reshape the payload before ACC send an ID and let ACC retrieve the full data separatelyMy main question:What approach are teams actually using in production for this, and which one has proven most scalable and maintainable?If there is a native way to pass nested arrays through AJO Custom Actions directly, I’d love to know.Thanks.

I create relaton schemas for campaign orchestration and have a question. What does ‘Enable for segmentation’ means?Data may be used in AEP segmentation? Data may be used in orchestrated campaigns? 

Adobe Experience Manager (AEM) and Adobe Journey Optimizer (AJO) together provide a powerful ecosystem for delivering personalized customer experiences at scale. While AEM manages content and digital assets, AJO orchestrates customer journeys using real-time data from Adobe Experience Platform (AEP)..

Hi ,We are working on profile capping in a recurring journey. Profile capping should also work on a recurring journey which means the counter should get reset to zero .But from the adobe documentation i came to know that , When profile cap is defined on a recurring journey, the counter does not reset after each recurrence.The counter applies only to the selected journey version. The counter resets to zero when the journey is duplicated or when a new version is created. After a reset, the entering profiles take the nominal path again until the counter limit is reached.So, is it possible to reset the counter so that in a recurring journey profile limit will work . ThanksUsha

Overview:Enhance the navigation experience within the Adobe Journey Optimizer canvas by introducing modern, intuitive controls aligned with industry-standard tools.The current navigation model requires users to independently manage vertical scrolling, horizontal scrolling, and zooming through separate UI controls. This creates friction when working with complex or large-scale journeys.This idea introduces:Omnidirectional canvas movement via middle mouse click + drag Scroll wheel-based zoom functionality A more fluid, continuous navigation experience Current challenge:The existing navigation approach has several usability limitations: Fragmented navigation controls Vertical movement: scroll wheel or scrollbar Horizontal movement: bottom scrollbar drag Zoom: separate UI buttons Linear movement only Users cannot move diagonally across the canvas Requires switching between horizontal and vertical controls High interaction cost Multiple clicks and manual dragging required Navigation

Hi All,I need a help/clarification on feedback webhook data storage. I have enabled webhook option in API triggered campaign and setup streaming HTTP API endpoint to store the feedback in AEP custom dataset. I’m using custom identity type as per my requirement for API triggered campaign.Below documentation shows the payload triggered after message execution.https://experienceleague.adobe.com/en/docs/journey-optimizer/using/configuration/feedback-webhooks Since I used custom identity during Campaign setup, I understand the identityMap in the payload will contain the custom identity and not email. If so, how do I capture the additional information like email address - to which email is triggered to - and if it sends email only in that feedback payload, then how do I get it work to send the custom identity which is the profile identifier for me.The webhook is working and I see the feedback data in the custom dataset but it is populating with neither email identity nor custom identity. I t

Hello Team, Is there any way to access AEM Experience fragment in AJO ?​@ManikSingla  Could you please advice on any possible ways to do this as per this comment on a previous post - Thank you!

Hi community. I am seeking some help regarding journey capabilities. In a lapsed traveler win-back journey I want to test the impact of entry cadence by splitting the audience into two cohorts within the same journey:Cohort A – Enters on a bi-weekly schedule (current setup) Cohort B – Enters on a daily schedule (proposed)All other journey elements would be identical — same messaging, same wait times between emails, same structure. The only variable being tested is how frequently users can enter the journey. Both cohorts would also share a 30-day re-entry suppression window.I was advised internally that this is not feasible in AJO because the two entry cadences represent distinct qualification paths and cannot exist within a single flow.My questions for the community:Is there any native way in AJO to support two different entry cadences within a single journey for a cohort test? If not, would the recommended workaround be to build two separate journeys — one per cohort — and split the a

I am in the process of migrating a transactional campaign from Salesforce Marketing Cloud (SFMC) to Adobe Journey Optimizer (AJO) as an API-triggered transactional campaign.In SFMC, I can easily access all the JSON files used to trigger emails to customers via data extensions. These JSON files allow me to verify which customer received specific communications and cross-check the data in case of discrepancies. Additionally, I can conveniently filter profiles or emails based on order numbers to locate the corresponding JSON file used to trigger the email.However, in AJO, the data received via an API for a transactional campaign is not stored. How can I verify and identify which customer received specific information in this scenario?

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 Hi Community,I am facing an issue with an Action Campaign in Adobe Journey Optimizer (AJO) for sending push notifications related to custom announcements.Scenario I created an Action Campaign for push notifications. Triggering rules have been configured. The audience is batch evaluated. The campaign activates successfully. However, after activation: Only a few users actually receive the push notification. In the campaign report, I can see that Targeted and Sent counts are almost the same. But a large number of profiles are showing as Bounced. One of the error reasons I see is: PushNoMessageFoundForDecisionPath Note: This is currently being tested in a Dev environment. The mobile app currently has only around 20–30 active users. Users may or may not have granted push notification permissions. Push notifications from Journeys using the same audience seem to work. Questions What exactly does the error PushNoMessageFoundForDecisionPath mean in the context of AJO push campaigns

The Adobe Orchestrated Campaign Module (OCM) should allow filter criteria defined during the Build Audience step to be persisted and reused. Why is this feature important to you As an architect designing complex multi-step orchestration workflows, having to rebuild identical filters across different nodes introduces unnecessary friction, increases the time to value, and raises the risk of human error in audience targeting. How would you like the feature to work Once a user creates a filter in the Build Audience step, there should be an option to save or inherit this logic in subsequent Enrichment activities without manual recreation. Current Behaviour Filter criteria defined during the Build Audience step are not persisted or available for reuse in subsequent Enrichment activities  

Hi Adobe Community, Greetings! I have a HTTP API connection from Salesforce which I get streaming events and a batch connector based connection with Salesforce from which I get events and profile attributes. Basically I have two connections from which I wanted to utilize events and attributes together for journeys in AJO.  Streaming events sync in the profile or profile store within minutes. Also the profile attributes and events sync in the profile or profile store within <15-20 minutes. Wanted to check - If I use streaming events from the HTTP API connection to trigger the journey and users are qualified in the journey, then later down the journey if we use profile attributes and/or events from the batch connector as conditions, will the Journey continue as expected if the values are getting updated for them even with the batch connection?  Thanks,Sambit

Hi everyone,I am currently validating the behavior of the Journey Reaction Activity for Push Notifications and have observed a discrepancy in how interactions are tracked across different Operating Systems.In our implementation, we use a click_action key in the Custom Data section of the Push payload (e.g., click_action: "OPEN_BENEFITS"). Our data analysis in the Experience Event Dataset shows the following:On Android (FCM): The interaction is captured as eventType: pushTracking.customAction. On iOS (APNS): The interaction is captured as eventType: pushTracking.applicationOpened.This seems to be due to how the Mobile SDK interprets the payload on different platforms when no physical action buttons are present in the template.My question is: When using a Reaction Node in a Journey set to listen for a "Clicked" interaction, does the AJO orchestration engine perform a logical "OR" to include both applicationOpened and customAction?I want to ensure that users on both platforms are correctl

I am trying to personalize a webpage based on web channel activity in an AJO Journey, using only ECID. I am encountering an error message, and no personalization is working."Can't create InboundActivationEvent as ingestionTarget is not present for actionId: 123, journeyVersionId: 456"

I have an array of objects and need to:Identify the object with the latest timestamp Return only that object Access a specific attribute (e.g. email) from the selected object Use that value in an AJO journey condition===========================================================================🔹 Sample Data!--scriptorstartfragment-->"productDetails": [  {    "id": "product-001",    "timestamp": "2026-04-23T02:00:38.000Z",    "email": "email-001@nomail.com"  },  {    "id": "product-004",    "timestamp": "2026-04-23T02:30:38.000Z",    "email": "email-004@nomail.com"  },  {    "id": "product-002",    "timestamp": "2026-04-23T02:10:38.000Z",    "email": "email-002@nomail.com"  },  {    "id": "product-003",    "timestamp": "2026-04-23T02:20:38.000Z",    "email": "email-003@nomail.com"  }]===========================================================================I was able to filter the objects based on the latest timestamp using filter() and max():!--scriptorstartfragment-->filter(  #{E

I’m facing challenges while trying to map content to offer items in Experience Decisioning and need some clarification on the correct approach. -> using fragments? I attempted to use a visual fragment, but it does not appear in the list of available fragments.When I created an expression fragment, it was listed and selectable for the offer item.However, after applying the decision policy in the email, the fragment content is not getting rendered. -> using custom attributes? In documentation I observed that mapping can be done using custom attributes, but I’m unclear on: How exactly to configure this How the content gets linked and rendered in the email  -> Difference from Offer Decisioning: In Offer Decisioning, content mapping was straightforward using representations.In Experience Decisioning, the approach seems different.I couldn’t find clear guidance in the documentation on how content mapping is expected to work here. Request: Could you please clarify the correct way to